{"id":"W4360592865","doi":"10.1615/jlongtermeffmedimplants.2023047960","title":"Preface","year":2023,"lang":"en","type":"article","venue":"Journal of Long-Term Effects of Medical Implants","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Quality of life (healthcare); Variety (cybernetics); Medicine; Gerontology; Library science; Psychology; Computer science; Nursing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002212985,0.00085846,0.0007083282,0.002784059,0.002518308,0.004028139,0.001183146,0.001380645,0.2411744],"category_scores_gemma":[0.01659067,0.000273977,0.0005388909,0.001821883,0.0007026563,0.00260174,0.001542031,0.003328612,0.1648116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480882,"about_ca_system_score_gemma":0.002458173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00450648,"about_ca_topic_score_gemma":0.005139112,"domain_scores_codex":[0.9988912,0.0001600755,0.00008875987,0.0001668009,0.0006016361,0.0000916967],"domain_scores_gemma":[0.9879867,0.001946249,0.0003625197,0.0006126334,0.007600958,0.001490847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009793845,0.00000741508,0.00004484541,0.00005109428,0.000001035032,0.00002616603,0.00004277099,0.00002190754,0.00005387694,0.001466746,0.9832746,0.0149997],"study_design_scores_gemma":[0.000002554768,0.000007620759,0.0002022949,0.00009725469,0.000001032426,0.00004311035,0.00005195853,0.00001674312,0.0000374705,0.000867664,0.9986687,0.000003671841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0008235314,0.01208774,0.003244911,0.07215994,0.6514245,0.0003224605,0.003643126,0.000671056,0.2556227],"genre_scores_gemma":[0.006536204,0.01116428,0.002368152,0.02206422,0.1505202,0.0002848629,0.004855715,0.00073922,0.8014671],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.7588257,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064187990476292,"score_gpt":0.3596762262077111,"score_spread":0.3390343463029482,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}